The Enriched UTAUT Model for the Acceptance of Software Engineering Tools in Academic Education

Wrycza, Stanisław; Marcinkowski, Bartosz; Gajda, Damian

doi:10.1080/10580530.2017.1254446

Cited by 28 publications

(33 citation statements)

References 23 publications

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“…In this study, we used the UTAUT model to determine HR professionals' behavioral intention to use artificial intelligence in recruiting. We tested five hypotheses and all were found significant and consistent with the findings of (M. S. Alam & Uddin, 2019;Casey & Wilson-Evered, 2012;Kwateng, Atiemo, & Appiah, 2019;Oliveira et al, 2014;Rozmi, Bakar, Hadi, & Nordin, 2019;Uddin et al, 2020;Venkatesh et al, 2003;Wrycza, Marcinkowski, & Gajda, 2017) where performance expectancy was found to have a positive impact on behavioral intention means it is recruiters believe performance will be enhanced if they use artificial intelligence in recruiting talents. Effort expectancy was found to have a positive impact on behavioral intension means the use of artificial intelligence will make their recruiting task easier than before.…”

Section: Discussionsupporting

confidence: 73%

HR Professionals’ Intention to Adopt and Use of Artificial Intelligence in Recruiting Talents

Alam

Khan²,

Dhar

et al. 2020

business-perspective-review

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Purpose: The present study is an attempt to explore the antecedents of behavioral intention to use artificial intelligence (AI) in recruiting talents by the HR professionals in Bangladesh. Drawing on the principle of the unified theory of acceptance and use of technology (UTAUT), which was built on the premise of technology acceptance model, the theory of planned behavior, the theory of reasoned action, and so forth, the current study has been conducted in the context of Bangladesh. Method: Building on the understanding of the deductive reasoning approach, the investigation followed the positivism paradigm via a quantitative research strategy. We collected 226 replies from the end-users of AI through a self-administrative survey. We used structural equation modeling (SEM) via SmartPLS. Results: Henceforth, the results in the findings filmed that all the hypotheses were supported. Implications: One of the important implications of the present study is the use of the intervention mentioned in this study for the manufacturing and service firms. Limitation: The major limitation is the use of cross-sectional data which implies that future research must use both cross-sectional and longitudinal data for the generalizability of the observed findings.

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Section: Discussionsupporting

confidence: 73%

HR Professionals’ Intention to Adopt and Use of Artificial Intelligence in Recruiting Talents

Alam

Khan²,

Dhar

et al. 2020

business-perspective-review

View full text Add to dashboard Cite

show abstract

“…In both UTAUT and revised UTAUT, academics revealed that the intents of a person are shaped by how their essential others (relatives, colleagues, friends and neighbors) expect them [60,64]. Expectations, evaluations, and normative beliefs from their important neighborhood regulate individuals to behave in a certain way regarding what to buy and choose [65,66]. Thus, the existing literature posits that essential others' pressure and expectation will have a significant influence on the adoption of ERP [43,44,47,67].…”

Section: Direct Effectsmentioning

confidence: 99%

“…Rather, many studies evidenced that behavior intention to use is the only predictor, if not the only, of the actual use of any technology. On the other hand, few studies concerning the application of UTAUT demonstrate that intention to behave is one of the vital factors defining the actual use of a technology [54,65]. Moreover, studies of Alam and Uddin [2], Carlsson, et al [71] and Rajan and Baral [37] demonstrated that intention to use ERP influences the actual use of ERP significantly in their studies.…”

Section: Direct Effectsmentioning

confidence: 99%

A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

Uddin

Alam

Mamun

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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Given the dearth of studies in developing and Asian countries’ context, the present study attempts to excavate the predictors of enterprise resource planning (ERP) adoption and implementation. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and open innovation literature, an extended model is proposed encompassing mediator and moderator variables. The study follows the deducting reasoning approach with the positivism paradigm. Out of 235 responses, the study used 225 replies collected through a self-administered sampling, and the data were analyzed by using PLS-based structural equation modeling. The study revealed that the hypothesized direct influences are significant except the influence of facilitating conditions on actual use. Likewise, the intention to use mediates the impact of facilitating conditions on the actual use of ERP. However, there is no moderating effect of education and firms’ size among the hypothesized influence. The study contributes to advance the previous findings by using an extended UTAUT model and validates results with the rest of the world.

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“…Theories for the acceptance and use of technologies provide invaluable background for explaining technological successes [6]. That said, while the networking topic is covered by over 2,409,800 Web of Science Core Collection contributions by mid-February 2021, cross-checking those contributions with such technology acceptance models as UTAUT, TAM2, and TAM3 generates only 156 results.…”

Section: Related Researchmentioning

confidence: 99%

Decision Factors behind Cisco Networking Hardware Acceptance in Business Environments

Ostrowski

Wrycza

Gajda

et al. 2021

JTAER

Self Cite

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Networking hardware might be considered a relatively unexposed enabler of the enormous success of the modern digital economy, and information technology of a global reach. The COVID-19 traffic spike across e-commerce portals puts further pressure on computer network component vendors and raises the bar regarding both performance and reliability. Therefore, the authors undertake a challenge of identifying factors influencing the level of Cisco switches acceptance among network administrators in business environments. To achieve that, Structural Equation Modelling is introduced. The feedback gathered from 205 study contributors enabled the authors to evaluate the significance of two domain-specific factors—Technological Innovation (TI) and Availability of Professional Training (APT). The APT was confirmed to have a significant impact on networking hardware acceptance. The study contributes to extending the decision-making rationale regarding the procurement of networking switches and shows the added value of technology-oriented professional training for job satisfaction and working efficiency.

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The Enriched UTAUT Model for the Acceptance of Software Engineering Tools in Academic Education

Cited by 28 publications

References 23 publications

HR Professionals’ Intention to Adopt and Use of Artificial Intelligence in Recruiting Talents

HR Professionals’ Intention to Adopt and Use of Artificial Intelligence in Recruiting Talents

A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

Decision Factors behind Cisco Networking Hardware Acceptance in Business Environments

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